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Structural Equation Modeling Phd Jobs (NOW HIRING)

Prophet

Insights Associate

Austin, TX · On-site

$80K - $95K/yr

Develop and execute analysis plans in service of project objectives, including statistical methodologies such as segmentation, multivariate analysis, regression, structural equation modeling, choice ...

Prophet

Insights Associate

Chicago, IL · On-site

$80K - $95K/yr

Develop and execute analysis plans in service of project objectives, including statistical methodologies such as segmentation, multivariate analysis, regression, structural equation modeling, choice ...

Prophet

Insights Associate

Chicago, IL · On-site

$80K - $95K/yr

Develop and execute analysis plans in service of project objectives, including statistical methodologies such as segmentation, multivariate analysis, regression, structural equation modeling, choice ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

PhD awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. Demonstrated proficiency in structural equation modeling and ...

OpenAI

People Data Scientist

San Francisco, CA · On-site

$198K - $220K/yr

... structural equation modeling, multilevel modeling, randomized controlled experiments, A/B testing ... PhD preferred. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring ...

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How much do structural equation modeling phd jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for structural equation modeling phd in the United States is $65.13, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $76.20 per hour, depending on experience, location, and employer.

What is a Structural Equation Modeling PhD?

A Structural Equation Modeling (SEM) PhD is an advanced research degree focused on the theory and application of SEM, a statistical technique used to analyze complex relationships among observed and latent variables. Students in this program learn how to design studies, build and test models, and interpret results using SEM. Graduates often work in academia, research, or industries that require expertise in quantitative analysis and advanced statistics. The degree typically involves coursework in statistics, methodology, and hands-on research experience using SEM software.

What are the key skills and qualifications needed to thrive as a Structural Equation Modeling PhD, and why are they important?

To thrive as a Structural Equation Modeling (SEM) PhD, you need advanced knowledge in statistics, psychometrics, and quantitative research methods, typically supported by a doctoral degree in a related field. Proficiency in statistical software such as Mplus, AMOS, LISREL, or R (lavaan package) is essential, along with experience in data analysis and model evaluation. Strong analytical thinking, attention to detail, and effective communication skills set candidates apart in explaining complex models and collaborating with interdisciplinary teams. These skills ensure rigorous, accurate research outcomes and enable clear interpretation and dissemination of findings in academic or applied settings.

What is the difference between Structural Equation Modeling Phd vs Data Analyst?

AspectStructural Equation Modeling PhdData Analyst
Required CredentialsPhD in related field, expertise in SEMBachelor's or Master's in Data Science, Statistics, or related
Work EnvironmentAcademic, research institutions, or specialized analytics teamsBusiness, finance, healthcare, or tech companies
Employer & Industry UsageResearch-focused roles, academia, advanced analyticsData-driven decision making across industries

The main difference is that a Structural Equation Modeling Phd specializes in advanced statistical modeling and research, often within academia or research institutions, while a Data Analyst focuses on interpreting data to inform business decisions across various industries. Both roles require strong analytical skills, but the SEM Phd emphasizes theoretical and methodological expertise.

What are some common challenges faced by a Structural Equation Modeling PhD in collaborative research projects?

A Structural Equation Modeling (SEM) PhD often collaborates with multidisciplinary teams, which can present challenges such as explaining complex statistical concepts to colleagues from non-quantitative backgrounds. Additionally, aligning the SEM approach with the research goals of collaborators may require flexibility and strong communication skills. Time management is also key, as SEM PhDs are frequently tasked with designing models, performing analyses, and helping others interpret results, all while meeting project deadlines. Building effective working relationships and setting clear expectations early on can help overcome these challenges and ensure successful collaborations.
Infographic showing various Structural Equation Modeling Phd job openings in the United States as of May 2026, with employment types broken down into 6% Internship, 4% As Needed, 11% Full Time, 76% Part Time, 1% Contract, and 2% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $135,479 per year, or $65.1 per hour.
Insights Associate

Insights Associate

Prophet

Austin, TX • On-site

$80K - $95K/yr

Other

Posted 24 days ago

Job description

About The Role

The Insights Team is an important enabling capability for the firm. Over half of the firm's revenue is driven by client engagements that involve some form of Insights work. The Insights team members work to design both qualitative and quantitative insights that ultimately drive the strategies and recommendations made to our clients. This is a consulting and market research based role and is client facing.

This Insights role uses market research, analytic methods, and business knowledge to design, build, and interpret market research and analytical models to meet client business objectives. You will work as part of a project team across all phases of insight development - conceptualization, research design, statistical modeling and analysis, and insight development. The role uses an understanding of market research and analytical methods to address project team and client goals.

Your Day to Day
  • Translate key business questions into qualitative and quantitative research plans
  • Develop end-to-end custom quantitative research including sampling plans and questionnaires
  • Develop and execute analysis plans in service of project objectives, including statistical methodologies such as segmentation, multivariate analysis, regression, structural equation modeling, choice modeling, and experimental design
  • Share and interpret outputs, analytic findings and insights with internal project and client teams
  • Iterate and finalize findings into client-ready presentations
  • Manage external market research vendors on research fieldwork, data collection, and data processing
  • Work simultaneously on multiple projects with tight deadlines and navigate ambiguity
  • Pursue proactive and effective interaction with other internal teams throughout Prophet and help improve = tools, methodologies, and processes
What You Bring
  • Degree with strong background in quantitative methods, market research, or behavioral sciences (e.g., Market Research, Statistics, Psychology, Behavioral Economics/Decision Sciences) OR one or more years of experience in a fast-paced quantitative market research arena/role
  • Experience applying quantitative, qualitative, and market research techniques to business problems
  • Strong conceptual understanding of research and analytic methods such as segmentation (e.g., factor/cluster, latent class modeling), regression & structural equation/pathway modeling, choice modeling (e.g., MaxDiff Scaling, conjoint modeling), experimental design, among others
  • Proficient in executing two or more of the above methods using statistical software packages such as SPSS, Latent Gold, Stata, R, Python and/or Sawtooth
  • Proficient knowledge of Excel & PowerPoint
  • Ability to draw insights from data and compellingly communicate results and illustrate recommendations to a "lay" audience
  • Strong written and oral communication skills
  • Strong project management and organization skills
  • Demonstrated comfort using AI tools (e.g., ChatGPT, Claude, or similar) to support research, synthesis, and drafting of materials.
  • Basic grasp of business & brand strategy a plus

Location: Austin

Salary Range: $80,000-95,000

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